Professional Experience

Pre-sales, data science, and AI—from Watermelon Software to Sway.AI

Sales Engineer (Pre-Sales)

Watermelon Software Inc.

Oct 2024 - Present
Remote, CA

Established U.S. pre-sales motion from zero as the first U.S.-based SE at an AI-native reliability startup.

Key Achievements

  • •Established U.S. pre-sales motion from zero as the first U.S.-based SE at a ~$5M ARR AI-native reliability startup; built end-to-end GTM playbook (discovery templates, demo library, pilot runbooks) that enabled the sales team to run 30+ enterprise evaluations with no prior U.S. infrastructure
  • •Applied MEDDIC discovery across QA, IT, Security, and C-suite stakeholders at banking and insurance accounts; identified economic buyers and defined measurable success criteria that advanced deals through technical validation, reducing average POC scoping time by ~30%
  • •Designed and delivered 30+ tailored demos mapping platform capabilities to release-velocity, QA-efficiency, and production-risk KPIs; demo-to-pilot conversion rate held above 60% across regulated-industry accounts
  • •Architected a production-grade outbound automation workflow using n8n + OpenAI API: ingested ICP accounts, enriched decision-makers via enrichment APIs, generated hyper-personalized sequences, and surfaced pipeline summaries to Slack—creating a repeatable path to qualified meetings
  • •Synthesized insights from 50+ prospect and customer interviews into structured requirements documents; insights were adopted by Product and shipped as 3 roadmap features tied to scalability, compliance controls, and cloud-deployment flexibility
  • •Standardized solution architecture documentation, pilot acceptance criteria, and handoff runbooks; reduced time-to-first-value during enterprise rollouts and improved cross-functional alignment with Customer Success and Partner teams
n8nOpenAI APISlackMEDDICPOC scoping

Data Scientist

Watermelon Software Inc.

Sep 2023 - Oct 2024
Remote, CA

ML and GenAI for QA automation and test authoring.

Key Achievements

  • •Shipped a computer vision screen-classification model (Python, PyTorch) into automated testing workflows; improved UI element detection accuracy by 20%, directly expanding automation coverage and reducing manual QA overhead for enterprise clients
  • •Co-developed a test case prioritization engine using historical execution signals and risk scoring (SQL + Python); reduced enterprise regression runtimes by 25%, contributing to 40% faster test execution in targeted workflows
  • •Prototyped GenAI test-authoring workflows using LangChain + RAG over product specification docs; reduced manual test-creation effort and accelerated release cycles—later became a key demo capability in pre-sales conversations
  • •Built and maintained ETL pipelines processing 5M+ daily testing records at 99.9% uptime; developed predictive models with 85% accuracy for system-vulnerability identification and partnered cross-functionally to productionize ML features in regulated enterprise environments
PythonPyTorchLangChainSQLRAG

Data Consultant

Sway.AI

Mar 2023 - Jun 2023
San Diego, CA

NLP and sentiment analysis for marketing intelligence.

Key Achievements

  • •Designed an influencer-detection and sentiment-analysis system using NLP + social-graph analytics on 10M+ social posts; improved sentiment classification accuracy by 30%, enabling executives to reallocate marketing spend with data confidence
  • •Built scalable ETL pipelines (Python, SQL) and Tableau dashboards surfacing campaign performance metrics; presented findings to client leadership, translating model outputs into actionable budget-allocation recommendations
PythonSQLNLPTableau